我正在使用NLTK和Maltparser从自然语言的句子中提取依存关系。我用下面的代码使用斯坦福解析器做了一些实验:
sentence = '''I shot an elephant in my pajamas'''
os.popen("echo '"+sentence+"' > ~/stanfordtemp.txt")
parser_out = os.popen("/usr/local/Cellar/stanford-parser/2.0.3/bin/lexparser.sh ~/stanfordtemp.txt").readlines()
for i, tag in enumerate(parser_out):
if len(tag.strip()) > 0 and tag.strip()[0] == '(':
parse = " ".join(tag.strip())
print i, "Parse: ", tag
elif len(tag.strip()) > 0:
print i, "Typed dependencies: ", tag
bracketed_parse = " ".join( [tag.strip() for tag in parser_out if len(tag.strip()) > 0 and tag.strip()[0] == "("] )
print bracketed_parse并得到了这个好的结果:
Parsing [sent. 1 len. 7]: I shot an elephant in my pajamas
Parsed 7 words in 1 sentences (12,87 wds/sec; 1,84 sents/sec).
0 Parse: (ROOT
1 Parse: (S
2 Parse: (NP (PRP I))
3 Parse: (VP (VBD shot)
4 Parse: (NP (DT an) (NN elephant))
5 Parse: (PP (IN in)
6 Parse: (NP (PRP$ my) (NNS pajamas))))))
8 Typed dependencies: nsubj(shot-2, I-1)
9 Typed dependencies: root(ROOT-0, shot-2)
10 Typed dependencies: det(elephant-4, an-3)
11 Typed dependencies: dobj(shot-2, elephant-4)
12 Typed dependencies: poss(pajamas-7, my-6)
13 Typed dependencies: prep_in(shot-2, pajamas-7)对于MaltParser,我有这样的代码:
os.environ['MALTPARSERHOME']="/Applications/maltparser-1.7.2"
maltParser = nltk.parse.malt.MaltParser(working_dir="/Applications/maltparser-1.7.2",
mco="engmalt.linear-1.7",
additional_java_args=['-Xmx1024m'])
txt = '''I shot an elephant in my pajamas'''
graph = maltParser.raw_parse(txt)
print(graph.tree().pprint())和以下输出:
(pajamas (shot I) an elephant in my)问:我可以获得与使用Stanford解析器时相同的输出吗?任何帮助都是最好的。
发布于 2017-12-23 07:52:54
在MALT文档中,我没有看到与您所显示的详细Stanford Parser输出100%匹配的选项,但是您可以尝试使用connlx和connlu输出选项,看看它们是否具有您需要的信息。
http://www.maltparser.org/options.html
原则上,非投影依赖分析可以通过麦芽输出的转换重新表示为成分分析,这将为您提供不需要太多努力的括号,但标记成分将是更多的工作。
https://stackoverflow.com/questions/21815891
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